Linear Programming Courses
Linear programming courses can help you learn optimization techniques, constraint handling, and objective function formulation. You can build skills in sensitivity analysis, duality theory, and graphical methods for problem-solving. Many courses introduce tools like MATLAB, Python, and Excel Solver, that support implementing linear programming models and analyzing outcomes in various applications, from logistics and finance to production planning and resource allocation.
Popular Linear Programming Courses and Certifications
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Numerical Analysis, Geometry, Applied Mathematics, Mathematical Modeling
Status: Free TrialHoward University
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Numerical Analysis, Algebra, Python Programming, Data Manipulation
Status: Free TrialJohns Hopkins University
Skills you'll gain: Applied Mathematics, Estimation, Calculus, Cost Estimation, Engineering Calculations, Mathematical Modeling, Operations Research, Derivatives, Graphing, Algebra
The Chinese University of Hong Kong
Skills you'll gain: Operations Research, Applied Mathematics, Mathematical Modeling, Problem Solving, Combinatorics, Graph Theory, Decision Support Systems, Computational Thinking, Data Modeling
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra, Numerical Analysis
Status: Free TrialStanford University
Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science
Status: Free TrialImperial College London
Skills you'll gain: Regression Analysis, Calculus, Machine Learning Methods, Advanced Mathematics, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Python Programming, Derivatives
Status: NewStatus: Free TrialSkills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Data Cleansing, Machine Learning Methods, Scatter Plots, Statistical Analysis, Data Validation, NumPy, Pandas (Python Package), Box Plots, Histogram
Status: Free TrialJohns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Predictive Modeling, Statistics, Statistical Analysis, Applied Mathematics, Advanced Mathematics
Status: FreeÉcole normale supérieure
Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Operations Research, Graph Theory, Linear Algebra, Mathematical Modeling, Probability
Status: NewStatus: PreviewSkills you'll gain: Feature Engineering, Exploratory Data Analysis, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Validation, Data Transformation, Pandas (Python Package), Matplotlib
Coursera
Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming
Searches related to linear programming
In summary, here are 10 of our most popular linear programming courses
- Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins University
- Fundamental Linear Algebra Concepts with Python: Howard University
- Calculus through Data & Modeling: Applying Differentiation: Johns Hopkins University
- Basic Modeling for Discrete Optimization: The Chinese University of Hong Kong
- Essential Linear Algebra for Data Science: University of Colorado Boulder
- Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
- Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
- Linear Regression & Supervised Learning in Python: EDUCBA
- Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
- Approximation Algorithms Part II: École normale supérieure
